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ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2023,12,19]]},"abstract":"<jats:p>Stress impacts our physical and mental health as well as our social life. A passive and contactless indoor stress monitoring system can unlock numerous important applications such as workplace productivity assessment, smart homes, and personalized mental health monitoring. While the thermal signatures from a user's body captured by a thermal camera can provide important information about the \"fight-flight\" response of the sympathetic and parasympathetic nervous system, relying solely on thermal imaging for training a stress prediction model often lead to overfitting and consequently a suboptimal performance. This paper addresses this challenge by introducing ThermaStrain, a novel co-teaching framework that achieves high-stress prediction performance by transferring knowledge from the wearable modality to the contactless thermal modality. During training, ThermaStrain incorporates a wearable electrodermal activity (EDA) sensor to generate stress-indicative representations from thermal videos, emulating stress-indicative representations from a wearable EDA sensor. During testing, only thermal sensing is used, and stress-indicative patterns from thermal data and emulated EDA representations are extracted to improve stress assessment. The study collected a comprehensive dataset with thermal video and EDA data under various stress conditions and distances. ThermaStrain achieves an F1 score of 0.8293 in binary stress classification, outperforming the thermal-only baseline approach by over 9%. Extensive evaluations highlight ThermaStrain's effectiveness in recognizing stress-indicative attributes, its adaptability across distances and stress scenarios, real-time executability on edge platforms, its applicability to multi-individual sensing, ability to function on limited visibility and unfamiliar conditions, and the advantages of its co-teaching approach. These evaluations validate ThermaStrain's fidelity and its potential for enhancing stress assessment.<\/jats:p>","DOI":"10.1145\/3631441","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:52:04Z","timestamp":1705063924000},"page":"1-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Reading Between the Heat"],"prefix":"10.1145","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5261-5440","authenticated-orcid":false,"given":"Yi","family":"Xiao","sequence":"first","affiliation":[{"name":"Syracuse University, Syracuse, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7016-6220","authenticated-orcid":false,"given":"Harshit","family":"Sharma","sequence":"additional","affiliation":[{"name":"Syracuse University, Syracuse, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4349-252X","authenticated-orcid":false,"given":"Zhongyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of California San Diego, San Diego, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8852-732X","authenticated-orcid":false,"given":"Dessa","family":"Bergen-Cico","sequence":"additional","affiliation":[{"name":"Syracuse University, Syracuse, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1981-6395","authenticated-orcid":false,"given":"Tauhidur","family":"Rahman","sequence":"additional","affiliation":[{"name":"University of California San Diego, San Diego, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0807-8967","authenticated-orcid":false,"given":"Asif","family":"Salekin","sequence":"additional","affiliation":[{"name":"Syracuse University, Syracuse, New York, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130898"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.32604\/csse.2021.015222"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.11.007"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2018.04.005"},{"key":"e_1_2_1_6_1","volume-title":"Ethical considerations for collecting human-centric image datasets. arXiv preprint arXiv:2302.03629","author":"Andrews Jerone TA","year":"2023","unstructured":"Jerone TA Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, and Alice Xiang. 2023. 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